Staff Software Engineer - Backend

Company Overview

ConcertAI is building the future of precision medicine. We use advanced artificial intelligence and real-world data to transform how healthcare and life sciences generate evidence, make decisions, and improve patient outcomes—starting in oncology and rapidly expanding across therapeutic areas. Our teams partner with the world’s leading pharmaceutical companies, providers, and research organizations to solve some of healthcare’s most complex challenges.

At the core of our innovation is CaraAI, our next-generation AI platform that unlocks powerful insights from complex clinical, imaging, and molecular data. Combined with our Precision Suite—which unifies real-world data, advanced analytics, and scalable evidence generation—these solutions are transforming how clinical development, regulatory, and commercialization decisions are made.

ConcertAI brings together a portfolio of purpose-built solutions, including TeraRecon, an industry leader in advanced imaging and AI-driven visualization, and CancerLinQ, the ASCO-originated oncology platform advancing care quality and large-scale discovery.

Joining ConcertAI means working alongside bold thinkers, builders, and healthcare experts on innovative, high-impact products that directly improve patient lives. You’ll be part of a fast-growing, mission-driven organization at the forefront of AI-enabled healthcare, with meaningful opportunities for growth and leadership.

Job Requirements

We are building a cloud-native AI platform for medical imaging — powering AI-assisted diagnostics across neurology, cardiology, and oncology. You will own end-to-end development of backend microservices that ingest, process, route, and serve medical imaging data at scale across hospital networks.

This is a hands-on engineering role. You will design, implement, and ship production services.

• Develop and upgrade core imaging microservices supporting 2D/3D rendering of medical images and segmentation of body parts and organs. Subsystems include DICOM and HL7/FHIR services, built-in DICOM Q/R, and CUDA-based rendering server. The orchestration of image processing algorithms which are incorporated / onboarded into the system as server plug-ins.

• Own and drive end-to-end development of major features or large software components - from high-level design (HLD) through implementation and deployment.

• Build reliable async and event-driven systems — design and implement RabbitMQ-based IPC patterns for inter-service communication; develop background worker services, cron-scheduled cleanup jobs, and event-driven processing pipelines.

• Uphold security and data integrity standards — implement TLS certificate lifecycle management, JWT/OAuth2-based authentication, and encryption (AES, SHA-256) for patient data protection; design for multi-tenant isolation from the start.

• Build cloud-based and on-premise platforms that host and execute containerized (Docker/Kubernetes) algorithms conforming to API specifications, delivering image-based intelligence across web and mobile interfaces.

• Perform design and code reviews; contribute to overall architecture of the platform and infrastructure.

• Collaborate with product management and tech leads to define features, create technical specifications, and provide effort estimates.

• Apply elasticity and scalability concepts; work with virtualization, load balancing, and API gateway technologies.

• Demonstrate exceptional attention to detail and strong communication skills.

Work Experience

Technical Skills:

• (Required) .NET Core / ASP.NET Core Expertise: Strong proficiency in .NET Core, ASP.NET Core, .NET Web API, OOP concepts, and design patterns including dependency injection. This is the primary technical requirement.

• (Required) SQL and NoSQL databases — hands-on experience with both relational (PostgreSQL or SQL Server) and document databases (MongoDB); practical skills in data modeling, indexing, and the repository pattern for each.

• (Required) Cloud & Container Orchestration: Hands-on experience with Kubernetes, Docker, and cloud platforms including AWS, GCP, and Azure.

• (Good Knowledge — at least one) Medical imaging and healthcare interoperability standards — working knowledge of at least one of: DICOM Web protocols (WADO-RS, STOW-RS, QIDO-RS), HL7 v2 message integration, or FHIR R4 APIs. Experience across more than one standard is a strong plus…